SOTAVerified

Synthetic Data Generation

The generation of tabular data by any means possible.

Papers

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Showing 201–225 of 822 papers

TitleStatusHype
Demystifying Graph Neural Network Explanations—0
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model—0
Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images—0
Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events—0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts—0
Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models—0
deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques—0
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
3D Segmentation of Humans in Point Clouds with Synthetic Data—0
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance—0
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders—0
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation—0
Differentially Private Synthetic High-dimensional Tabular Stream—0
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
Differential Privacy Under Class Imbalance: Methods and Empirical Insights—0
DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection—0
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models—0
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data—0
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All datasetsUCI Epileptic Seizure RecognitionUNSW-NB15

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1corGANAUROC0.92—Unverified
2GANAUROC0.87—Unverified
#ModelMetricClaimedVerifiedStatus
1kiNETGANEMD0.07—Unverified
2CTGANEMD0.07—Unverified